Evidence map›Paper›PMID 15980578›Full record

ArticleNucleic acids research2005

GeneSeeker: extraction and integration of human disease-related information from web-based genetic databases.

M A van Driel, K Cuelenaere, P P C W Kemmeren, J A M Leunissen, H G Brunner, Gert Vriend

Abstract read
In one paragraph

Article in Nucleic acids research, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed.

  1. Article
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  3. Review
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  12. Bioinformatic tools for identifying disease gene and SNP candidates.Methods in molecular biology (Clifton, N.J.) · 2010
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Role of in silico tools in gene discovery.Molecular biotechnology · 2009
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

M A van DrielCentre for Molecular and Biomolecular Informatics, Radboud University Nijmegen, PO Box 9010, 6500GL Nijmegen, The Netherlands.
K Cuelenaere
P P C W Kemmeren
J A M Leunissen
H G Brunner
Gert Vriend

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of genes underlying human genetic disorders requires the combination of data related to cytogenetic localization, phenotypes and expression patterns, to generate a list of candidate genes. In the field of human genetics, it is normal to perform this combination analysis by hand. We report on GeneSeeker (http://www.cmbi.ru.nl/GeneSeeker/), a web server that gathers and combines data from a series of databases. All database searches are performed via the web interfaces provided with the original databases, guaranteeing that the most recent data are queried, and obviating data warehousing. GeneSeeker makes the same selection of candidate genes as the human geneticists would have performed, and thus reducing the time-consuming process to a few minutes. GeneSeeker is particularly well suited for syndromes in which the disease gene displays altered expression patterns in the affected tissue(s).

Indexed as

Databases, GeneticGenetic Predisposition to DiseaseSoftwareChromosome MappingGene ExpressionGenetic Diseases, InbornHumansInternetPhenotypeSyndromeSystems IntegrationUser-Computer Interface

Identifiers

PMID15980578
PMCPMC1160196

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.